Changchang Wu
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 1%
- Geology top 0.5%
- Environmental Engineering top 2%
- Civil and Structural Engineering top 10%
- Co-authors
- Brian CurlessSteven M. SeitzSameer AgarwalJan‐Michael FrahmMarc PollefeysBrian ClippEnliang ZhengRahul Raguram
- Topics
- Robotics and Sensor-Based Localization (14 papers)Advanced Vision and Imaging (13 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Journals
- International Journal of Computer VisionISPRS Journal of Photogrammetry and Remote SensingCatalysis Science & Technology
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Changchang Wu
17 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 1.3k
- Aerospace Engineering 1.1k
- Geology 749
- Environmental Engineering 415
- Civil and Structural Engineering 97
Countries citing papers authored by Changchang Wu
This map shows the geographic impact of Changchang Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changchang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changchang Wu more than expected).
Fields of papers citing papers by Changchang Wu
This network shows the impact of papers produced by Changchang Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changchang Wu. The network helps show where Changchang Wu may publish in the future.
Co-authorship network of co-authors of Changchang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Changchang Wu. A scholar is included among the top collaborators of Changchang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changchang Wu. Changchang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 29 | |
| 4 | 43 | |
| 5 | 47 | |
| 6 | 80 | |
| 7 | Towards Linear-Time Incremental Structure from Motionbreakdown → | 831 |
| 8 | 34 | |
| 9 | Multicore bundle adjustmentbreakdown → | 587 |
| 10 | 50 | |
| 11 | 45 | |
| 12 | 1 | |
| 13 | 30 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | Visual word based location recognition in 3D models using distance augmented weighting | 21 |
| 18 | 116 | |
| 19 | 0 |
About Changchang Wu
Changchang Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Vision and Imaging (13 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Geology (749 citations), Computer Vision and Pattern Recognition (1.3k citations) and Aerospace Engineering (1.1k citations). Changchang Wu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Brian Curless, Steven M. Seitz, Sameer Agarwal, Jan‐Michael Frahm, Marc Pollefeys, Brian Clipp, Enliang Zheng, Rahul Raguram, Svetlana Lazebnik and Carlos Hernández. Their work appears in journals such as International Journal of Computer Vision, ISPRS Journal of Photogrammetry and Remote Sensing and Catalysis Science & Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.